Instructions to use wissamantoun/WebOrganizer-TopicClassifier-ModernBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wissamantoun/WebOrganizer-TopicClassifier-ModernBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wissamantoun/WebOrganizer-TopicClassifier-ModernBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wissamantoun/WebOrganizer-TopicClassifier-ModernBERT") model = AutoModelForSequenceClassification.from_pretrained("wissamantoun/WebOrganizer-TopicClassifier-ModernBERT") - Notebooks
- Google Colab
- Kaggle
File size: 211 Bytes
7983357 | 1 2 3 4 5 6 7 8 | {
"epoch": 4.9728,
"num_input_tokens_seen": 1949274656,
"train_loss": 1.6634563641670423,
"train_runtime": 573.9155,
"train_samples_per_second": 696.967,
"train_steps_per_second": 1.359
} |